Business & Data Analyst

Data Extraction, Preparation and Transformation:

• Writing SQL queries to extract data from various sources
• Cleaning, transforming, and validating raw data to ensure accuracy, completeness, and consistency for analysis; creating report and driving resolutions for data quality issues
• Performing data wrangling to structure datasets for specific analytical tasks.
• Developing data transformation process based on business rules

Data Analytics and Business Analytics

• Analyzing customer profile data, researching business processes and identifying how process and segmentation rules drive customer classifications
• Identifying anomalies in customer classifications, inconsistencies in business processes and data; performing deepdives to uncover the root causes
• Creating recommendations to address customer profile anomalies and process / data inconsistencies

Reporting and Visualization:

• Communicating findings, trends, and recommendations to stakeholders through clear presentations and written reports.
• Ad-hoc analysis to answer specific business questions from various stake holders

Collaboration and Stakeholder Management:

• Working closely with business teams to understand their data needs and translate them into analytical requirements.
• Presenting findings and insights to management and cross-functional teams to support data-driven decision-making.